资源列表
2-8
- 在9（3*3）个方格的方阵中填入数字1到N(N>=10)内的某9个数字 每个方格填一个整数，要求相邻两个方格的两个整数之和为质数。 试求所有的解-in 9 (3 * 3) grid matrix to fill out a number of N (Ngt; = 10) of a nine figures each box filled an integral require two adjacent box at the two integral to the quality and n
Matlab work
- 本文件提供了几个数值分析中的Matlab小程序。水平有限，多多海涵。-This document provides several numerical analysis of Matlab small programs. Limited, and many Haihan.
Matlab应用篇
- Matlab应用篇提供了大量的Matlab应用实例。配合前三篇所讲内容，巩固Matlab知识。-Matlab Application chapter provides a large number of application examples Matlab. Compatible with the three have said, the consolidation of Matlab knowledge.
Matlab入门篇
- Matlab入门篇介绍了一些基本的Matlab语句。并且有丰富的实例。-chapter introduces some basic Matlab statement. And there are abundant examples.
Matlab基础篇
- Matlab基础篇是Matlab初学者的一个很好的向导，它介绍了Matlab的安装及初等的使用方法-Matlab Matlab for the project is a good beginner's guide, it introduced the Matlab the installation and use of primary
Matlab提高篇
- Matlab提高篇介绍了Matlab的语言的一些基本格式。同时提供了丰富的实例，让读者整整体会该语言。-Matlab increase of the Matlab language, the basic format. While providing a wealth of examples to enable readers to a full understanding of the language.
runica
- 提出了一种利用S函数实验结果表明：ICA可以将 脑电信号中包含的心电（ECG）、眼电（EOG）等多种干扰信号成功地分离出来-use of a S-function experimental results show : ICA EEG can be included in the heart (ECG), eyes (EOG) and other interference signal successfully separated
YLiGRC04
- 本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA), the simulation results show t
YOLi_ICASSP05
- 本文提出一种用于独立成份分析(ICA)的特征选择滤波方案用于改善ICA算法对关键独立成份(SOI)的分离和提取,关键独立成份在其信号样本数据的空间分布上具有一定特征. 本文以平滑滤波为例,表明加入此类特征滤波的ICA算法可以改善对于视觉功能区等平滑图象信号的提取. 因此, 这种特征滤波技术在估计具有平滑特性的脑功能成像方面具有潜在的应用价值.-for Independent component analysis (ICA) feature selection filtering program
ICA2000_reprint.doc
- 具有带通选择性的ICA算法可以改善对于带通时间序列的分离以及对于周期性脑功能响应信号的提取. 因此本文提出的方案可将被估计信号, 如:周期性响应信号以及具有平滑空间分布的脑功能激活区, 的先验特性以特征选择的方式加入ICA算法用以提高对此类信号的估计-with selective ICA algorithm can be improved for the band pass time series, as well as for the separation of brain function
仿真程序
- 信号调制识别：在SNR=10db，干扰为高斯噪声的条件下进行信号调制类型的自动识别。-signal modulation recognition:Automatic signal modulation on the condition of SNR=10db and Gaussian noise.
MST_without input
- kruscal的源代码，实现最小生成树的算法，这个是本人自己编的小程序。-kruscal the source code to achieve the minimum spanning tree algorithm, this is my own small part of the process.